Data Engineer III - UGX (temporary)

Vancouver, British Columbia, Canada Location: TorontoState: OntarioCountry: CanadaLocation: EdmontonState: AlbertaCountry: CanadaLocation: VictoriaState: British ColumbiaCountry: Canada6+ years

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Locations: Vancouver, British Columbia, Canada

Location: Toronto
State: Ontario
Country: Canada

Location: Edmonton
State: Alberta
Country: Canada

Location: Victoria
State: British Columbia
Country: Canada

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.

As a Data Engineer, you will collaborate with the User-Generated Experiences (UGX) team to implement data strategies. You will develop complex ETL pipelines, supporting dashboards that provide deeper understanding of game and player insights.

You will report to the Technical Lead.

Responsibilities:

You will gather requirements, model and design solutions to support product analytics, business analytics and data science teams
You will design and implement scalable and robust data pipelines using cloud-native and open-source technologies.
You will develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources.
You will support production code to produce comprehensive and accurate datasets.
You will automate the deployment and monitoring of data workflows using CI/CD best practices.
You will participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing.

Qualifications:

6+ years of experience in a data engineering role
Proficiency writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
Expertise in Python
Experience with data pipeline orchestration, using Airflow
Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
Experience with version control and code review tools such as Git
Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, or CloudFormation)
Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).
Experience with BI and data visualization tools (e.g., Looker, Tableau, or Power BI).

This is a hybrid remote/in-office role.

We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems.

In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance.

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